Author

Lawrence H. Staib

Yale UniversityORCID 0000-0002-9516-5136Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Neuroscience· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Approach:graph neural network· 1 Organism:human· 1 Assay:imaging· 1

Frequent Co-Authors

Dustin ScheinostiD· 1 shared James S. DuncaniD· 1 shared Juntang ZhuangiD· 1 shared Muhan ZhangiD· 1 shared Nicha C. DvornekiD· 1 shared Pamela E. VentolaiD· 1 shared Siyuan GaoiD· 1 shared Xiaoxiao LiiD· 1 shared

Activity by Year

2021-2021 · peak 1/yr

Co-Author Collaboration Network

9 top collaborators · 36 mutual co-author links

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1 shared paperNeuroscience

Dustin ScheinostORCID

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1 paper

Recent·Most cited

BrainGNN: Interpretable Brain Graph Neural Network for fMRI Analysis

Xiaoxiao Li, Yuan Zhou, Nicha C. Dvornek, Muhan Zhang, Siyuan Gao, Juntang Zhuang, Dustin Scheinost, Lawrence H. Staib, Pamela E. Ventola, James S. Duncan

This paper introduces BrainGNN, a graph neural network for fMRI analysis that identifies salient brain regions and outperforms existing methods in ASD and HCP datasets.

Medical Image Analysis · Sep 12, 2021Peer-reviewedNeuroscience